Journal Special Issue: Deadline Extension

KAIS Special Issue on Context-Aware Data Mining Due to many requests, the submission deadline has been extended to January 29, 2010. DEADLINE EXTENSION: January 29, 2010 Knowledge and Information Systems: An International Journal (KAIS) CFP: KAIS Special Issue on Context-Aware Data Mining Web: http://datamining.rutgers.edu/KAIS2009/ Knowledge Discovery is generally described as a process of automatic extraction of interesting and previously unknown knowledge from large amounts of data. Contextual aspects may intervene in several steps of the discovery process, and now the question is how these aspects interact within the process, and the forms that this can take. For instance, in data pre-processing, enriching the data with additional contextual information can lead to the generation of more meaningful and human understandable patterns, once the generated patterns are directly related to the input data. Also, during the mining task, context may be used as constraints, thus allowing search space reduction, pattern pruning, and the development of more efficient algorithms. Context information and domain knowledge may intervene in the post-processing step helping in the explanation of results. Recent years have witnessed increased interests in exploiting contextual information for data mining. Also, data mining has been applied successfully in a number of different fields, such as bioinformatics, business intelligence, finance data analysis, location based services, network data analysis, and social link analysis. As a consequence, context-aware data mining is a never-ending resilience field and attracts growing research efforts from different fields. Springer KAIS aims on original research work for a Special Issue on Context-Aware Data Mining. The goal of this journal special issue is to bring together current development, ideas, and applications of context-aware data mining. Manuscripts are solicited to address a wide range of topics in context-aware data mining, but not limit to the following: - Biomedical Data Mining - Business Intelligence and Data Mining - Constraint-based Data Mining - Conceptual Modelling and Data Mining - Customer Data Mining - Data Mining for Fraud Detection - Data Mining for Marketing - Data Mining for Software Engineering - Data Mining using Ontologies - Financial Data Mining - Knowledge Discovery from Sensor Data - Network Data Mining - Network Intrusion Detection - Privacy-Preserving Data Mining - Social Link Analysis - Spatio-temporal Data Mining - Semantics in Data Pre-processing and Post-processing - Semantic-based Techniques for Feature Selection - Ontology-based Evaluation Methods - Semantics for Knowledge Representation, Interpretation, and Reasoning - Semantic-based KDD Processes and Frameworks - Semantics for Uncertainty Handling in Data Mining - Techniques to Embed Semantics into the Data Mining Process Submission Guidelines Submission information can be found on the journal web page by clicking on "Instructions for Authors" on the sidebar. There are no specific page length restrictions. Authors should submit their manuscripts using KAIS's online system. To submit your article, go to the online manuscript submission page, select "submit a manuscript", create a user account, and, when prompted, choose "Special Issue: CADM-09" as the article type. Please feel free to contact the guest editors with any questions. Important Dates Submission Deadline: 29 January 2009 Preliminary Results: 10 May 2010 Revised Version: 10 June 2010 Notification of Acceptance: 10 July 2010 Final Manuscripts Due: 10 August 2010 Anticipated Publication: Early 2011 Guest editors Hui Xiong Rutgers University, USA Email: hxiong@rutgers.edu Vania Bogorny Universidade Federal de Santa Catarina Email: Brazil vania@inf.ufsc.br Chiara Renso ISTI CNR, Italy chiara.renso@isti.cnr.it Daxin Jiang Microsoft Research Asia Email: djiang@microsoft.com